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Gabriel B. Senay, Stefanie Kagone, Gabriel E. L. Parrish, Kul Khand, Olena Boiko and Naga M. Velpuri
We enhanced the agro-hydrologic VegET model to include snow accumulation and melt processes and the separation of runoff into surface runoff and deep drainage. Driven by global weather datasets and parameterized by land surface phenology (LSP), the enhan...
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Hongsi Gao, Xiaochun Zhang, Xiugui Wang and Yuhong Zeng
The assessment of crop water productivity (CWP) is of practical significance for improving regional agricultural water use efficiency and water conservation levels. The remote sensing method is a common method for estimating large scale CWP, and the asse...
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Yan Guo, Haoming Xia, Li Pan, Xiaoyang Zhao, Rumeng Li, Xiqing Bian, Ruimeng Wang and Chong Yu
Cropping intensity is a key indicator for evaluating grain production and intensive use of cropland. Timely and accurately monitoring of cropping intensity is of great significance for ensuring national food security and improving the level of national l...
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Shahidul Islam and Mingguo Ma
Land surface temperature (LST) can significantly alter seasonal vegetation phenology which in turn affects the global and regional energy balance. These are the most important parameters of surface–atmosphere interactions and climate change. Method...
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Weili Kou, Changxian Liang, Lili Wei, Alexander J. Hernandez and Xuejing Yang
Updated extent, area, and spatial distribution of tropical evergreen forests from inventory data provides valuable knowledge for research of the carbon cycle, biodiversity, and ecosystem services in tropical regions. However, acquiring these data in moun...
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Liang Liang, Mark D. Schwartz and Xiaoyang Zhang
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L. Gurovich, J. Stern
Pág. 35 - 42
Variabilidad espacial de la velocidad de infiltración del agua en el suelo. I. Generación de datosCiencia e Investigación Agraria, Revista latinoamericana en Ciencias de la Agricultura, está indexada en las siguientes bases de datos: Thomson ISI, Alerta ...
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